Accession Number:

AD1101322

Title:

Can Deep Learning Predict PD-L1 Status A Fine-Tuned InceptionV3 Convolution Neural Network Architecture Accurately Determines PD-L1 Status in Colonic Adenocarcinoma

Descriptive Note:

Technical Report

Corporate Author:

59MDW San Antonio United States

Report Date:

2020-01-10

Pagination or Media Count:

1.0

Abstract:

PD-L1 immunohistochemical staining is becoming increasingly important in the oncological treatment of various neoplasms. Interestingly , colonic adenocarcinomas show PD-L1 dependent morphological changes medullary phenotype and increased tumor infiltrating lymphocytes rendering them potentially amenable to analysis by a Convolutional Neural Network CNN. Previously, we have shown that CNNs have the potential to reduce costs and turnaround time associated with immunohistochemical IHC staining. Herein, we demonstrate that a fine tuned InceptionV3 CNN architecture is able to accurately and confidently determine PD L1 status from H and E images.

Subject Categories:

  • Medicine and Medical Research

Distribution Statement:

APPROVED FOR PUBLIC RELEASE